The Tensorflow Implementation of the Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement - CVPR 2020
I pushed my project to Google Cloud Platform. May need more improvement. Should you have any comment or inquiries or just basically want to enhance your images, give it a try here
- Clone the repository
- Tensorflow 2.2.0+
- Python 3.6+
- Keras 2.3.0
- PIL
- numpy
pip install -r requirements.txt-
Preprocess
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Download the training data at Google Drive.
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Run this file to generate data. (Please remember to change path first)
python src/prepare_data.py -
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Train ZERO_DCE
python train.py -
Test ZERO_DCE
python test.py
python train.py [-h] [--lowlight_images_path LOWLIGHT_IMAGES_PATH] [--lr LR]
[--num_epochs NUM_EPOCHS] [--train_batch_size TRAIN_BATCH_SIZE]
[--val_batch_size VAL_BATCH_SIZE] [--display_iter DISPLAY_ITER]
[--checkpoint_iter CHECKPOINT_ITER] [--checkpoints_folder CHECKPOINTS_FOLDER]
[--load_pretrain LOAD_PRETRAIN] [--pretrain_dir PRETRAIN_DIR]
optional arguments: -h, --help show this help message and exit
--lowlight_images_path LOWLIGHT_IMAGES_PATH
--lr LR
--num_epochs NUM_EPOCHS
--train_batch_size TRAIN_BATCH_SIZE
--val_batch_size VAL_BATCH_SIZE
--display_iter DISPLAY_ITER
--checkpoint_iter CHECKPOINT_ITER
--checkpoints_folder CHECKPOINTS_FOLDER
--load_pretrain LOAD_PRETRAIN
--pretrain_dir PRETRAIN_DIR
python test.py [-h] [--lowlight_test_image_path]
optional arguments: -h, --help show this help message and exit
--lowlight_test_image_path LOWLIGHT_TEST_IMAGES_PATH
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This project is licensed under the MIT License - see the LICENSE file for details
[1] Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement - CVPR 2020 link
[3] Low-light dataset - link
@misc{guo2020zeroreference,
title={Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement},
author={Chunle Guo and Chongyi Li and Jichang Guo and Chen Change Loy and Junhui Hou and Sam Kwong and Runmin Cong},
year={2020},
eprint={2001.06826},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
The project is now available on GCP. Give it a try
- This repo is the re-production of the original pytorch version
- Thank you for helping me to understand more about pains that tensorflow may cause.
- Final words:
- Any ideas on updating or misunderstanding, please send me an email: [email protected]
- If you find this repo helpful, kindly give me a star.
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